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  • 🍵 Meta 'Mango' Slipped on Nano Banana

🍵 Meta 'Mango' Slipped on Nano Banana

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What if China builds the one machine that powers all AI chips (no chips = no Nividia) without help from the West? And what if 2026 is the year AI gets judged for real?

IN PARTNERSHIP WITH 1LEARN

Unlock Vibe Coding: Turn Ideas Into Apps in 3 Hours Masterclass
Session on Saturday, 20th December • 9:00 AM EST

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AI INSIGHTS

chinas-secret-euv-machine-a-250m-breakthrough

Image of A High NA EUV Lithography System

Reuters reported that China has built a prototype EUV lithography machine - the same $250M machine that’s essential to print advanced chips powering AI models like ChatGPT → In short, no EUV = no AI chips = no Nvidia = no GPT.

→ Right now, ASML is the only company in the world that can do this, each machine costs around $250M. Then China’s prototype is being tested in Shenzhen:

  • It reportedly generates EUV light (the hardest part)

  • Sources say former ASML engineers helped reverse-engineer parts

  • Target production timeline: 2028–2030

China can’t buy, fix, or upgrade top-tier ASML gear, because of legal license. This forced them to go all-in on building their own, with no help from the outside world.

Do you know why hasn’t anyone else (even the U.S.) done this? Because it’s nearly impossible. Just ask the story of the Chinese engineers who took apart an ASML Deep UV machine to study it… then couldn’t put it back together… and had to ask ASML to fix it → Every bump, particle, or misalignment kills the machine.

Did you get this guys? Indeed Chinese sorcerers 😅

🎁 Today's Trivia - Vote, Learn & Win!

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Why is EUV lithography critical for advanced AI chips?

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PRESENTED BY LEVANTA

The Future of Shopping? AI + Actual Humans.

AI has changed how consumers shop by speeding up research. But one thing hasn’t changed: shoppers still trust people more than AI.

Levanta’s new Affiliate 3.0 Consumer Report reveals a major shift in how shoppers blend AI tools with human influence. Consumers use AI to explore options, but when it comes time to buy, they still turn to creators, communities, and real experiences to validate their decisions.

The data shows:

  • Only 10% of shoppers buy through AI-recommended links

  • 87% discover products through creators, blogs, or communities they trust

  • Human sources like reviews and creators rank higher in trust than AI recommendations

The most effective brands are combining AI discovery with authentic human influence to drive measurable conversions.

Affiliate marketing isn’t being replaced by AI, it’s being amplified by it.

AI SOURCES FROM AI FIRE

1. 21 practical ChatGPT hacks real AI masters use to work 2× faster (most Free). These aren’t regular “prompt tricks”, you can save this for later use

2. 4 easy yet Proven methods to turn simple agent into your real business. A simple 30-day plan to turn super agent into a real agency or offer

DAY 3: BEGINNERS DAILY AI PLAN

If you’ve ever tried ChatGPT or Claude and felt like “This is kinda mid…”. It’s because it didn’t get a good input. That’s not your fault. No one teaches this stuff clearly.

Because AI doesn’t “think”, it predicts an answer based on your question. If your question is vague or generic, you’ll get bland replies like: “In today’s fast-paced world…”

And that’s not what we’re here for. We’ll teach you to write your own, just enough to get way better results, without copying anyone blindly.

If miss Day 2: Ultimate List of the Best AI Tools for Every Task, go read that first so today makes full sense.

P/S: Shout out to our researcher, Neil Phan, for spending time researching, testing everything into this simple, battle-tested guide for everyone!

After you finish Day 3, we’d love to hear how it’s going. 👇 Drop your feedback in the quick poll at the end. Takes 10 seconds, we read every reply. Thank you!

TODAY IN AI

AI HIGHLIGHTS

🎓 Google’s AI Agents course drew 1.5M learners in only 5 days, now it's completely free to access with all sessions, materials. Save it here & you can still watch later.

📱 OpenAI launched the ChatGPT App Store. Now you can browse and use apps like Apple Music, Photoshop, Spotify, Canva,... right inside ChatGPT. See its demo here.

👨‍💻 It’s also opening app submissions for publication in ChatGPT. Anyone can apply, with the approved apps rolling out in 2026. Submit in this link if you’re interested.

📺 Are you creating marketing campaigns? If you want better ad visuals, using this prompt can help you create amazing graphics. We'll make a detailed guide later.

🥭 After Google's Nano Banana, Meta's cooking up new AI image/video models, named "Mango" (besides "Avocado" for text). The fruit-themed AI is... funny though.

💰 Big AI Investment: Amazon’s in talks to invest $10B in OpenAI. In return, OpenAI would use Amazon’s AI chips, similar to past circular deals in the AI race.

NEW EMPOWERED AI TOOLS

  1. 🔊 Meta’s SAM Audio accurately separates any sound from any audio or audio-visual source

  2. 📱 Bitrig turns your ideas into real apps, right on your phone. No coding experience required

  3. 🗣️ Keplar interviews customers for you and gathers rich insights with real people

  4. 📝 Cluely takes perfect meeting notes and gives real-time answers, all while completely undetectable

2026 AI PREDICTION

stanford-ai-experts-2026-will-be-a-reality-check

2025 was the year of hype decks and headline demos. According to Stanford’s AI Institute, it’s time to prove AI actually works.

In a new set of predictions from Stanford’s Institute for Human-Centered AI (HAI), 4 top researchers laid out what they think will define AI in 2026:

  • No AGI this year” → The industry will finally admit that outside of code generation and call centers, AI hasn’t delivered big wins

  • The rise of AI dashboards → We’ll start tracking AI’s impact like we track our steps, with dashboards that monitor job changes and productivity shifts monthly

  • A “ChatGPT moment” for healthcare → We’ll finally see breakout real-world AI deployments in healthcare that actually get used

  • Law AI gets serious → The era of “Look, it wrote a contract!” is over. Now it’s: How accurate? How risky? Is it legally safe to use this in court?

But Stanford’s tone is different from the usual hype parade. This is the university that helped fuel the early LLM research boom… and now they’re asking if it’s all smoke.

Yet this still makes sense when you consider $10B+ invested across the AI space in 2025, or enterprises testing 100s of pilots, or governments starting to regulate.

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The AI Fire Team

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